Suvi Taira

2.4k total citations · 1 hit paper
42 papers, 1.9k citations indexed

About

Suvi Taira is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Suvi Taira has authored 42 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 17 papers in Molecular Biology and 14 papers in Genetics. Recurrent topics in Suvi Taira's work include Plant Pathogenic Bacteria Studies (17 papers), Plant-Microbe Interactions and Immunity (13 papers) and Bacterial Genetics and Biotechnology (13 papers). Suvi Taira is often cited by papers focused on Plant Pathogenic Bacteria Studies (17 papers), Plant-Microbe Interactions and Immunity (13 papers) and Bacterial Genetics and Biotechnology (13 papers). Suvi Taira collaborates with scholars based in Finland, United States and Australia. Suvi Taira's co-authors include Mikael Rhen, Eola Kukk, Kari Alitalo, Vladimir Joukov, Michael Jeltsch, Arja Kaipainen, Athina Lymboussaki, Martin Romantschuk, Elina Roine and Harri Savilahti and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Development.

In The Last Decade

Suvi Taira

42 papers receiving 1.8k citations

Hit Papers

VEGF-C receptor binding and pattern of expression with VE... 1996 2026 2006 2016 1996 100 200 300 400 500

Peers

Suvi Taira
Comparison fields: 5 of 92
  • Molecular Biology 871
  • Plant Science 511
  • Oncology 468
  • Genetics 302
  • Food Science 261
Replace Francisco Ramos‐Morales with:
Francisco Ramos‐Morales Spain
Alexey Fomenkov United States
Monita P. Wilson United States
R G Martin United States
T. Durfee United States
Boyan C. Goumnerov United States
Alan Sloma United States
Karita Peltonen Finland
G. Simons Netherlands
Craig A. Strathdee Canada
Francisco Ramos‐Morales Spain View profile →
Citations per field, relative to Suvi Taira
Suvi Taira · 1×
Citations per year, relative to Suvi Taira
Suvi Taira · 1×

Countries citing papers authored by Suvi Taira

Since Specialization
Citations

This map shows the geographic impact of Suvi Taira's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Suvi Taira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suvi Taira more than expected).

Fields of papers citing papers by Suvi Taira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suvi Taira. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Suvi Taira. The network helps show where Suvi Taira may publish in the future.

Co-authorship network of co-authors of Suvi Taira

This figure shows the co-authorship network connecting the top 25 collaborators of Suvi Taira. A scholar is included among the top collaborators of Suvi Taira based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suvi Taira. Suvi Taira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 24
2 70
3 13
4 35
5 50
6 96
7 10
8 62
9 57
10 63
11 122
12 48
13 158
14 49
15 27
16 19
17 40
18 27
19 25
20 32

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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